Dataset statistics
| Number of variables | 11 |
|---|---|
| Number of observations | 26298 |
| Missing cells | 24503 |
| Missing cells (%) | 8.5% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 2.2 MiB |
| Average record size in memory | 88.0 B |
Variable types
| Categorical | 1 |
|---|---|
| Numeric | 10 |
time has a high cardinality: 26298 distinct values | High cardinality |
tavg is highly correlated with tmin and 3 other fields | High correlation |
tmin is highly correlated with tavg and 2 other fields | High correlation |
tmax is highly correlated with tavg and 1 other fields | High correlation |
wspd is highly correlated with wpgt | High correlation |
wpgt is highly correlated with wspd | High correlation |
tsun is highly correlated with tavg | High correlation |
snow is highly correlated with tavg and 1 other fields | High correlation |
snow has 1346 (5.1%) missing values | Missing |
wdir has 9229 (35.1%) missing values | Missing |
wspd has 6956 (26.5%) missing values | Missing |
wpgt has 6949 (26.4%) missing values | Missing |
time is uniformly distributed | Uniform |
time has unique values | Unique |
tmin has 359 (1.4%) zeros | Zeros |
prcp has 14627 (55.6%) zeros | Zeros |
snow has 23661 (90.0%) zeros | Zeros |
tsun has 4980 (18.9%) zeros | Zeros |
Reproduction
| Analysis started | 2022-11-24 15:55:29.542286 |
|---|---|
| Analysis finished | 2022-11-24 15:57:51.900260 |
| Duration | 2 minutes and 22.36 seconds |
| Software version | pandas-profiling v3.4.0 |
| Download configuration | config.json |
| Distinct | 26298 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 205.6 KiB |
| 1950-01-01 | 1 |
|---|---|
| 1997-12-27 | 1 |
| 1998-01-06 | 1 |
| 1998-01-05 | 1 |
| 1998-01-04 | 1 |
| Other values (26293) |
Length
| Max length | 10 |
|---|---|
| Median length | 10 |
| Mean length | 10 |
| Min length | 10 |
Characters and Unicode
| Total characters | 262980 |
|---|---|
| Distinct characters | 11 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 26298 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | 1950-01-01 |
|---|---|
| 2nd row | 1950-01-02 |
| 3rd row | 1950-01-03 |
| 4th row | 1950-01-04 |
| 5th row | 1950-01-05 |
Common Values
| Value | Count | Frequency (%) |
| 1950-01-01 | 1 | < 0.1% |
| 1997-12-27 | 1 | < 0.1% |
| 1998-01-06 | 1 | < 0.1% |
| 1998-01-05 | 1 | < 0.1% |
| 1998-01-04 | 1 | < 0.1% |
| 1998-01-03 | 1 | < 0.1% |
| 1998-01-02 | 1 | < 0.1% |
| 1998-01-01 | 1 | < 0.1% |
| 1997-12-31 | 1 | < 0.1% |
| 1997-12-30 | 1 | < 0.1% |
| Other values (26288) | 26288 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 1950-01-01 | 1 | < 0.1% |
| 1950-01-17 | 1 | < 0.1% |
| 1950-01-07 | 1 | < 0.1% |
| 1950-01-08 | 1 | < 0.1% |
| 1950-01-09 | 1 | < 0.1% |
| 1950-01-10 | 1 | < 0.1% |
| 1950-01-11 | 1 | < 0.1% |
| 1950-01-12 | 1 | < 0.1% |
| 1950-02-19 | 1 | < 0.1% |
| 1950-01-13 | 1 | < 0.1% |
| Other values (26288) | 26288 |
Most occurring characters
| Value | Count | Frequency (%) |
| - | 52596 | |
| 1 | 47586 | |
| 0 | 46815 | |
| 9 | 29167 | |
| 2 | 26770 | |
| 8 | 11035 | 4.2% |
| 5 | 11031 | 4.2% |
| 7 | 11031 | 4.2% |
| 6 | 10964 | 4.2% |
| 3 | 8675 | 3.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 210384 | |
| Dash Punctuation | 52596 | 20.0% |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 47586 | |
| 0 | 46815 | |
| 9 | 29167 | |
| 2 | 26770 | |
| 8 | 11035 | 5.2% |
| 5 | 11031 | 5.2% |
| 7 | 11031 | 5.2% |
| 6 | 10964 | 5.2% |
| 3 | 8675 | 4.1% |
| 4 | 7310 | 3.5% |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 52596 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 262980 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| - | 52596 | |
| 1 | 47586 | |
| 0 | 46815 | |
| 9 | 29167 | |
| 2 | 26770 | |
| 8 | 11035 | 4.2% |
| 5 | 11031 | 4.2% |
| 7 | 11031 | 4.2% |
| 6 | 10964 | 4.2% |
| 3 | 8675 | 3.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 262980 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| - | 52596 | |
| 1 | 47586 | |
| 0 | 46815 | |
| 9 | 29167 | |
| 2 | 26770 | |
| 8 | 11035 | 4.2% |
| 5 | 11031 | 4.2% |
| 7 | 11031 | 4.2% |
| 6 | 10964 | 4.2% |
| 3 | 8675 | 3.3% |
| Distinct | 430 |
|---|---|
| Distinct (%) | 1.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 10.71841965 |
| Minimum | -17.6 |
|---|---|
| Maximum | 31.6 |
| Zeros | 92 |
| Zeros (%) | 0.3% |
| Negative | 1975 |
| Negative (%) | 7.5% |
| Memory size | 205.6 KiB |
Quantile statistics
| Minimum | -17.6 |
|---|---|
| 5-th percentile | -1.4 |
| Q1 | 5 |
| median | 10.8 |
| Q3 | 16.7 |
| 95-th percentile | 22.4 |
| Maximum | 31.6 |
| Range | 49.2 |
| Interquartile range (IQR) | 11.7 |
Descriptive statistics
| Standard deviation | 7.52784232 |
|---|---|
| Coefficient of variation (CV) | 0.7023276345 |
| Kurtosis | -0.6424771782 |
| Mean | 10.71841965 |
| Median Absolute Deviation (MAD) | 5.9 |
| Skewness | -0.1210460448 |
| Sum | 281873 |
| Variance | 56.66840999 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 5 | 160 | 0.6% |
| 13 | 157 | 0.6% |
| 4.4 | 157 | 0.6% |
| 6.8 | 156 | 0.6% |
| 14.8 | 153 | 0.6% |
| 5.8 | 151 | 0.6% |
| 15.4 | 151 | 0.6% |
| 17.4 | 151 | 0.6% |
| 16.6 | 150 | 0.6% |
| 7.4 | 148 | 0.6% |
| Other values (420) | 24764 |
| Value | Count | Frequency (%) |
| -17.6 | 1 | |
| -14.4 | 1 | |
| -14 | 1 | |
| -13.7 | 1 | |
| -13.6 | 1 | |
| -13.5 | 1 | |
| -13.4 | 1 | |
| -13.1 | 1 | |
| -12.8 | 1 | |
| -12.7 | 1 |
| Value | Count | Frequency (%) |
| 31.6 | 1 | |
| 30.9 | 1 | |
| 30.7 | 1 | |
| 30.2 | 1 | |
| 29.9 | 1 | |
| 29.8 | 2 | |
| 29.6 | 2 | |
| 29.5 | 1 | |
| 29.4 | 1 | |
| 29.3 | 1 |
| Distinct | 403 |
|---|---|
| Distinct (%) | 1.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6.244539509 |
| Minimum | -21.1 |
|---|---|
| Maximum | 22.3 |
| Zeros | 359 |
| Zeros (%) | 1.4% |
| Negative | 4647 |
| Negative (%) | 17.7% |
| Memory size | 205.6 KiB |
Quantile statistics
| Minimum | -21.1 |
|---|---|
| 5-th percentile | -4.6 |
| Q1 | 1.3 |
| median | 6.4 |
| Q3 | 11.6 |
| 95-th percentile | 16.4 |
| Maximum | 22.3 |
| Range | 43.4 |
| Interquartile range (IQR) | 10.3 |
Descriptive statistics
| Standard deviation | 6.682959394 |
|---|---|
| Coefficient of variation (CV) | 1.070208521 |
| Kurtosis | -0.3302180031 |
| Mean | 6.244539509 |
| Median Absolute Deviation (MAD) | 5.2 |
| Skewness | -0.2794648095 |
| Sum | 164218.9 |
| Variance | 44.66194626 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 359 | 1.4% |
| 13 | 180 | 0.7% |
| 5 | 174 | 0.7% |
| 0.4 | 159 | 0.6% |
| 4.8 | 159 | 0.6% |
| 1.6 | 158 | 0.6% |
| 6 | 155 | 0.6% |
| 6.4 | 154 | 0.6% |
| 1 | 153 | 0.6% |
| 3 | 152 | 0.6% |
| Other values (393) | 24495 |
| Value | Count | Frequency (%) |
| -21.1 | 1 | |
| -21 | 1 | |
| -20.5 | 1 | |
| -19.3 | 1 | |
| -19.2 | 2 | |
| -18.7 | 2 | |
| -18.6 | 2 | |
| -18.3 | 2 | |
| -18 | 1 | |
| -17.7 | 1 |
| Value | Count | Frequency (%) |
| 22.3 | 2 | < 0.1% |
| 22.2 | 1 | < 0.1% |
| 22.1 | 2 | < 0.1% |
| 21.9 | 1 | < 0.1% |
| 21.8 | 1 | < 0.1% |
| 21.7 | 1 | < 0.1% |
| 21.6 | 2 | < 0.1% |
| 21.5 | 1 | < 0.1% |
| 21.4 | 2 | < 0.1% |
| 21.2 | 5 |
| Distinct | 476 |
|---|---|
| Distinct (%) | 1.8% |
| Missing | 12 |
| Missing (%) | < 0.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 15.33199041 |
| Minimum | -13 |
|---|---|
| Maximum | 70 |
| Zeros | 92 |
| Zeros (%) | 0.3% |
| Negative | 791 |
| Negative (%) | 3.0% |
| Memory size | 205.6 KiB |
Quantile statistics
| Minimum | -13 |
|---|---|
| 5-th percentile | 1.2 |
| Q1 | 8.4 |
| median | 15.5 |
| Q3 | 22.3 |
| 95-th percentile | 29.3 |
| Maximum | 70 |
| Range | 83 |
| Interquartile range (IQR) | 13.9 |
Descriptive statistics
| Standard deviation | 8.86628251 |
|---|---|
| Coefficient of variation (CV) | 0.5782864632 |
| Kurtosis | -0.5912898123 |
| Mean | 15.33199041 |
| Median Absolute Deviation (MAD) | 6.9 |
| Skewness | 0.001366055943 |
| Sum | 403016.7 |
| Variance | 78.61096554 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 10 | 133 | 0.5% |
| 21 | 133 | 0.5% |
| 21.3 | 129 | 0.5% |
| 21.2 | 124 | 0.5% |
| 9 | 122 | 0.5% |
| 11.6 | 121 | 0.5% |
| 11 | 120 | 0.5% |
| 19.7 | 117 | 0.4% |
| 22.7 | 117 | 0.4% |
| 18.8 | 116 | 0.4% |
| Other values (466) | 25054 |
| Value | Count | Frequency (%) |
| -13 | 1 | < 0.1% |
| -10.6 | 2 | |
| -10.4 | 1 | < 0.1% |
| -10 | 2 | |
| -9.5 | 1 | < 0.1% |
| -9 | 1 | < 0.1% |
| -8.9 | 1 | < 0.1% |
| -8.8 | 2 | |
| -8.7 | 3 | |
| -8.4 | 3 |
| Value | Count | Frequency (%) |
| 70 | 4 | |
| 39.8 | 1 | < 0.1% |
| 39.5 | 1 | < 0.1% |
| 39 | 1 | < 0.1% |
| 38.9 | 2 | |
| 38.8 | 1 | < 0.1% |
| 38.5 | 1 | < 0.1% |
| 38.3 | 2 | |
| 38.1 | 1 | < 0.1% |
| 38 | 1 | < 0.1% |
| Distinct | 321 |
|---|---|
| Distinct (%) | 1.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.707517682 |
| Minimum | 0 |
|---|---|
| Maximum | 103.1 |
| Zeros | 14627 |
| Zeros (%) | 55.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 205.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 1.5 |
| 95-th percentile | 9 |
| Maximum | 103.1 |
| Range | 103.1 |
| Interquartile range (IQR) | 1.5 |
Descriptive statistics
| Standard deviation | 3.998482827 |
|---|---|
| Coefficient of variation (CV) | 2.341693365 |
| Kurtosis | 47.45184898 |
| Mean | 1.707517682 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 5.038111356 |
| Sum | 44904.3 |
| Variance | 15.98786492 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 14627 | |
| 0.1 | 937 | 3.6% |
| 0.2 | 624 | 2.4% |
| 0.3 | 511 | 1.9% |
| 0.5 | 379 | 1.4% |
| 0.4 | 371 | 1.4% |
| 0.6 | 309 | 1.2% |
| 0.7 | 285 | 1.1% |
| 0.8 | 276 | 1.0% |
| 1 | 221 | 0.8% |
| Other values (311) | 7758 |
| Value | Count | Frequency (%) |
| 0 | 14627 | |
| 0.1 | 937 | 3.6% |
| 0.2 | 624 | 2.4% |
| 0.3 | 511 | 1.9% |
| 0.4 | 371 | 1.4% |
| 0.5 | 379 | 1.4% |
| 0.6 | 309 | 1.2% |
| 0.7 | 285 | 1.1% |
| 0.8 | 276 | 1.0% |
| 0.9 | 217 | 0.8% |
| Value | Count | Frequency (%) |
| 103.1 | 1 | |
| 72 | 1 | |
| 63 | 1 | |
| 57.7 | 1 | |
| 56.7 | 1 | |
| 51.5 | 1 | |
| 49.2 | 1 | |
| 49.1 | 2 | |
| 48.1 | 1 | |
| 47.3 | 1 |
| Distinct | 28 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 1346 |
| Missing (%) | 5.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.794565566 |
| Minimum | 0 |
|---|---|
| Maximum | 300 |
| Zeros | 23661 |
| Zeros (%) | 90.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 205.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 10 |
| Maximum | 300 |
| Range | 300 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 16.28499899 |
|---|---|
| Coefficient of variation (CV) | 5.827381253 |
| Kurtosis | 75.91924736 |
| Mean | 2.794565566 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 7.948278888 |
| Sum | 69730 |
| Variance | 265.2011921 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=28)
| Value | Count | Frequency (%) |
| 0 | 23661 | |
| 10 | 285 | 1.1% |
| 20 | 223 | 0.8% |
| 30 | 143 | 0.5% |
| 40 | 79 | 0.3% |
| 50 | 74 | 0.3% |
| 100 | 67 | 0.3% |
| 80 | 66 | 0.3% |
| 60 | 62 | 0.2% |
| 70 | 58 | 0.2% |
| Other values (18) | 234 | 0.9% |
| (Missing) | 1346 | 5.1% |
| Value | Count | Frequency (%) |
| 0 | 23661 | |
| 10 | 285 | 1.1% |
| 20 | 223 | 0.8% |
| 30 | 143 | 0.5% |
| 40 | 79 | 0.3% |
| 50 | 74 | 0.3% |
| 60 | 62 | 0.2% |
| 70 | 58 | 0.2% |
| 80 | 66 | 0.3% |
| 90 | 55 | 0.2% |
| Value | Count | Frequency (%) |
| 300 | 1 | < 0.1% |
| 260 | 4 | |
| 250 | 1 | < 0.1% |
| 240 | 3 | < 0.1% |
| 230 | 2 | < 0.1% |
| 220 | 2 | < 0.1% |
| 210 | 4 | |
| 200 | 6 | |
| 190 | 5 | |
| 180 | 9 |
| Distinct | 361 |
|---|---|
| Distinct (%) | 2.1% |
| Missing | 9229 |
| Missing (%) | 35.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 184.5266858 |
| Minimum | 0 |
|---|---|
| Maximum | 360 |
| Zeros | 90 |
| Zeros (%) | 0.3% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 205.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 10 |
| Q1 | 114 |
| median | 191 |
| Q3 | 249 |
| 95-th percentile | 349 |
| Maximum | 360 |
| Range | 360 |
| Interquartile range (IQR) | 135 |
Descriptive statistics
| Standard deviation | 103.1560859 |
|---|---|
| Coefficient of variation (CV) | 0.5590307193 |
| Kurtosis | -0.8412103719 |
| Mean | 184.5266858 |
| Median Absolute Deviation (MAD) | 65 |
| Skewness | -0.1596919697 |
| Sum | 3149686 |
| Variance | 10641.17806 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 187 | 133 | 0.5% |
| 172 | 130 | 0.5% |
| 192 | 129 | 0.5% |
| 191 | 127 | 0.5% |
| 183 | 121 | 0.5% |
| 182 | 120 | 0.5% |
| 189 | 120 | 0.5% |
| 190 | 118 | 0.4% |
| 184 | 116 | 0.4% |
| 197 | 114 | 0.4% |
| Other values (351) | 15841 | |
| (Missing) | 9229 |
| Value | Count | Frequency (%) |
| 0 | 90 | |
| 1 | 90 | |
| 2 | 90 | |
| 3 | 74 | |
| 4 | 80 | |
| 5 | 94 | |
| 6 | 76 | |
| 7 | 65 | |
| 8 | 73 | |
| 9 | 85 |
| Value | Count | Frequency (%) |
| 360 | 5 | < 0.1% |
| 359 | 82 | |
| 358 | 81 | |
| 357 | 80 | |
| 356 | 87 | |
| 355 | 67 | |
| 354 | 90 | |
| 353 | 79 | |
| 352 | 79 | |
| 351 | 68 |
| Distinct | 100 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 6956 |
| Missing (%) | 26.5% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9.7010547 |
| Minimum | 0 |
|---|---|
| Maximum | 37.8 |
| Zeros | 5 |
| Zeros (%) | < 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 205.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 3.6 |
| Q1 | 6.1 |
| median | 9 |
| Q3 | 12.2 |
| 95-th percentile | 18.4 |
| Maximum | 37.8 |
| Range | 37.8 |
| Interquartile range (IQR) | 6.1 |
Descriptive statistics
| Standard deviation | 4.633108409 |
|---|---|
| Coefficient of variation (CV) | 0.4775881131 |
| Kurtosis | 1.148992072 |
| Mean | 9.7010547 |
| Median Absolute Deviation (MAD) | 2.9 |
| Skewness | 0.9354449428 |
| Sum | 187637.8 |
| Variance | 21.46569353 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 7.6 | 691 | 2.6% |
| 6.8 | 686 | 2.6% |
| 8.3 | 679 | 2.6% |
| 7.2 | 675 | 2.6% |
| 6.1 | 668 | 2.5% |
| 5.8 | 668 | 2.5% |
| 6.5 | 660 | 2.5% |
| 7.9 | 653 | 2.5% |
| 5.4 | 635 | 2.4% |
| 9 | 624 | 2.4% |
| Other values (90) | 12703 | |
| (Missing) | 6956 |
| Value | Count | Frequency (%) |
| 0 | 5 | < 0.1% |
| 0.4 | 19 | 0.1% |
| 0.7 | 15 | 0.1% |
| 1.1 | 31 | 0.1% |
| 1.4 | 44 | 0.2% |
| 1.8 | 62 | 0.2% |
| 2.2 | 89 | 0.3% |
| 2.5 | 135 | |
| 2.9 | 157 | |
| 3.2 | 250 |
| Value | Count | Frequency (%) |
| 37.8 | 1 | < 0.1% |
| 36.7 | 1 | < 0.1% |
| 34.9 | 2 | < 0.1% |
| 32.4 | 1 | < 0.1% |
| 31 | 3 | |
| 30.2 | 5 | |
| 29.9 | 5 | |
| 29.5 | 4 | |
| 29.2 | 5 | |
| 28.8 | 4 |
| Distinct | 266 |
|---|---|
| Distinct (%) | 1.4% |
| Missing | 6949 |
| Missing (%) | 26.4% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 30.82724689 |
| Minimum | 2.9 |
|---|---|
| Maximum | 130 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 205.6 KiB |
Quantile statistics
| Minimum | 2.9 |
|---|---|
| 5-th percentile | 12.6 |
| Q1 | 21.6 |
| median | 28.8 |
| Q3 | 38.2 |
| 95-th percentile | 55.4 |
| Maximum | 130 |
| Range | 127.1 |
| Interquartile range (IQR) | 16.6 |
Descriptive statistics
| Standard deviation | 13.37380902 |
|---|---|
| Coefficient of variation (CV) | 0.4338307947 |
| Kurtosis | 1.730543295 |
| Mean | 30.82724689 |
| Median Absolute Deviation (MAD) | 8.3 |
| Skewness | 0.9728546926 |
| Sum | 596476.4 |
| Variance | 178.8587676 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 25.2 | 373 | 1.4% |
| 18 | 330 | 1.3% |
| 21.6 | 328 | 1.2% |
| 28.8 | 321 | 1.2% |
| 32.4 | 286 | 1.1% |
| 23.4 | 246 | 0.9% |
| 25.9 | 245 | 0.9% |
| 22.3 | 244 | 0.9% |
| 25.6 | 242 | 0.9% |
| 28.1 | 240 | 0.9% |
| Other values (256) | 16494 | |
| (Missing) | 6949 |
| Value | Count | Frequency (%) |
| 2.9 | 1 | < 0.1% |
| 3.6 | 1 | < 0.1% |
| 4 | 2 | < 0.1% |
| 4.3 | 2 | < 0.1% |
| 5 | 1 | < 0.1% |
| 5.4 | 8 | |
| 5.8 | 4 | < 0.1% |
| 6.1 | 6 | |
| 6.5 | 11 | |
| 6.8 | 8 |
| Value | Count | Frequency (%) |
| 130 | 1 | |
| 117 | 1 | |
| 114.5 | 1 | |
| 112 | 1 | |
| 103.3 | 1 | |
| 102.2 | 1 | |
| 101.5 | 1 | |
| 100.8 | 1 | |
| 100.4 | 1 | |
| 98.3 | 1 |
pres
Real number (ℝ≥0)
| Distinct | 586 |
|---|---|
| Distinct (%) | 2.2% |
| Missing | 7 |
| Missing (%) | < 0.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1016.208048 |
| Minimum | 970.8 |
|---|---|
| Maximum | 1046 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 205.6 KiB |
Quantile statistics
| Minimum | 970.8 |
|---|---|
| 5-th percentile | 1001.7 |
| Q1 | 1011.1 |
| median | 1016.3 |
| Q3 | 1021.6 |
| 95-th percentile | 1030.2 |
| Maximum | 1046 |
| Range | 75.2 |
| Interquartile range (IQR) | 10.5 |
Descriptive statistics
| Standard deviation | 8.512573648 |
|---|---|
| Coefficient of variation (CV) | 0.008376802036 |
| Kurtosis | 0.5405641174 |
| Mean | 1016.208048 |
| Median Absolute Deviation (MAD) | 5.2 |
| Skewness | -0.1879056471 |
| Sum | 26717125.8 |
| Variance | 72.46391012 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1014.9 | 163 | 0.6% |
| 1015.2 | 159 | 0.6% |
| 1014.8 | 157 | 0.6% |
| 1017.2 | 150 | 0.6% |
| 1015.9 | 149 | 0.6% |
| 1016.7 | 148 | 0.6% |
| 1017 | 147 | 0.6% |
| 1017.8 | 147 | 0.6% |
| 1016.4 | 147 | 0.6% |
| 1015.7 | 146 | 0.6% |
| Other values (576) | 24778 |
| Value | Count | Frequency (%) |
| 970.8 | 1 | |
| 972.1 | 1 | |
| 972.7 | 1 | |
| 977.9 | 1 | |
| 978.5 | 1 | |
| 979.9 | 1 | |
| 981 | 1 | |
| 981.2 | 1 | |
| 981.6 | 1 | |
| 982.2 | 1 |
| Value | Count | Frequency (%) |
| 1046 | 1 | |
| 1045.5 | 2 | |
| 1044.5 | 1 | |
| 1043.9 | 1 | |
| 1043.8 | 1 | |
| 1043.4 | 1 | |
| 1043.2 | 1 | |
| 1043 | 1 | |
| 1042.9 | 1 | |
| 1042.6 | 1 |
| Distinct | 586 |
|---|---|
| Distinct (%) | 2.2% |
| Missing | 4 |
| Missing (%) | < 0.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 283.8643797 |
| Minimum | 0 |
|---|---|
| Maximum | 948 |
| Zeros | 4980 |
| Zeros (%) | 18.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 205.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 24 |
| median | 222 |
| Q3 | 492 |
| 95-th percentile | 774 |
| Maximum | 948 |
| Range | 948 |
| Interquartile range (IQR) | 468 |
Descriptive statistics
| Standard deviation | 264.0536307 |
|---|---|
| Coefficient of variation (CV) | 0.9302105144 |
| Kurtosis | -0.900824564 |
| Mean | 283.8643797 |
| Median Absolute Deviation (MAD) | 216 |
| Skewness | 0.5802123319 |
| Sum | 7463930 |
| Variance | 69724.31987 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 4980 | 18.9% |
| 6 | 528 | 2.0% |
| 12 | 426 | 1.6% |
| 18 | 357 | 1.4% |
| 24 | 305 | 1.2% |
| 30 | 283 | 1.1% |
| 36 | 261 | 1.0% |
| 48 | 250 | 1.0% |
| 42 | 241 | 0.9% |
| 60 | 235 | 0.9% |
| Other values (576) | 18428 |
| Value | Count | Frequency (%) |
| 0 | 4980 | |
| 1 | 4 | < 0.1% |
| 2 | 10 | < 0.1% |
| 3 | 7 | < 0.1% |
| 4 | 4 | < 0.1% |
| 5 | 4 | < 0.1% |
| 6 | 528 | 2.0% |
| 7 | 4 | < 0.1% |
| 8 | 4 | < 0.1% |
| 9 | 5 | < 0.1% |
| Value | Count | Frequency (%) |
| 948 | 1 | < 0.1% |
| 942 | 1 | < 0.1% |
| 936 | 4 | < 0.1% |
| 930 | 4 | < 0.1% |
| 929 | 2 | < 0.1% |
| 928 | 1 | < 0.1% |
| 924 | 10 | |
| 922 | 1 | < 0.1% |
| 921 | 1 | < 0.1% |
| 920 | 1 | < 0.1% |
Auto
The auto setting is an easily interpretable pairwise column metric of the following mapping: vartype-vartype : method, categorical-categorical : Cramer's V, numerical-categorical : Cramer's V (using a discretized numerical column), numerical-numerical : Spearman's ρ. This configuration uses the best suitable for each pair of columns.Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| time | tavg | tmin | tmax | prcp | snow | wdir | wspd | wpgt | pres | tsun | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1950-01-01 | -2.1 | -4.8 | 2.8 | 0.0 | 0.0 | NaN | NaN | NaN | 1031.4 | 408.0 |
| 1 | 1950-01-02 | 0.6 | -5.7 | 2.8 | 13.2 | 0.0 | NaN | NaN | NaN | 1021.8 | 0.0 |
| 2 | 1950-01-03 | 2.5 | 1.0 | 4.8 | 0.8 | 0.0 | NaN | NaN | NaN | 1012.6 | 0.0 |
| 3 | 1950-01-04 | 3.9 | 1.4 | 5.3 | 3.4 | 0.0 | NaN | NaN | NaN | 1010.7 | 12.0 |
| 4 | 1950-01-05 | 5.3 | 1.7 | 7.1 | 1.0 | 0.0 | NaN | NaN | NaN | 1009.3 | 0.0 |
| 5 | 1950-01-06 | 5.0 | 2.7 | 8.3 | 0.0 | 0.0 | NaN | NaN | NaN | 1012.6 | 222.0 |
| 6 | 1950-01-07 | 4.9 | 1.4 | 7.2 | 0.0 | 0.0 | NaN | NaN | NaN | 1019.3 | 6.0 |
| 7 | 1950-01-08 | 0.4 | -1.6 | 5.1 | 0.0 | 0.0 | NaN | NaN | NaN | 1021.8 | 282.0 |
| 8 | 1950-01-09 | 1.6 | -2.1 | 3.7 | 0.0 | 0.0 | NaN | NaN | NaN | 1018.5 | 126.0 |
| 9 | 1950-01-10 | 4.4 | 0.0 | 5.8 | 0.0 | 0.0 | NaN | NaN | NaN | 1026.9 | 0.0 |
Last rows
| time | tavg | tmin | tmax | prcp | snow | wdir | wspd | wpgt | pres | tsun | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 26288 | 2021-12-22 | -3.0 | -6.7 | 1.7 | 0.0 | 0.0 | 340.0 | 3.2 | 13.3 | 1025.8 | 450.0 |
| 26289 | 2021-12-23 | 0.8 | -4.3 | 6.5 | 0.0 | 0.0 | 149.0 | 12.6 | 29.2 | 1015.5 | 0.0 |
| 26290 | 2021-12-24 | 7.8 | 6.3 | 9.1 | 6.6 | 0.0 | 164.0 | 9.4 | 25.2 | 1007.2 | 0.0 |
| 26291 | 2021-12-25 | 5.3 | 2.4 | 7.5 | 4.0 | 0.0 | 356.0 | 6.5 | 18.7 | 1005.9 | 0.0 |
| 26292 | 2021-12-26 | 2.5 | 1.6 | 3.5 | 5.7 | 0.0 | 311.0 | 5.0 | 12.6 | 1007.5 | 0.0 |
| 26293 | 2021-12-27 | 7.2 | 3.2 | 10.9 | 2.7 | 0.0 | 150.0 | 6.8 | 22.3 | 1002.8 | 122.0 |
| 26294 | 2021-12-28 | 9.1 | 7.7 | 11.2 | 6.9 | 0.0 | 162.0 | 16.6 | 56.9 | 998.7 | 5.0 |
| 26295 | 2021-12-29 | 9.7 | 8.6 | 11.5 | 4.0 | 0.0 | 187.0 | 14.4 | 43.6 | 1009.0 | 4.0 |
| 26296 | 2021-12-30 | 13.0 | 10.6 | 15.2 | 0.6 | 0.0 | 169.0 | 11.5 | 28.1 | 1019.2 | 19.0 |
| 26297 | 2021-12-31 | 11.4 | 9.3 | 13.4 | 0.0 | 0.0 | 166.0 | 11.2 | 27.7 | 1023.3 | 337.0 |